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Archived Curricula Guide 2014–2015
Curricula Guide is archieved. Please refer to current Curricula Guides
BIO4290 Tools for Intelligent Data Analysis 4 ECTS
Organised by
Master's Degree Programme in Bioinformatics
Person in charge
Pentti Riikonen/Juha Kesseli


Strategic themes: Internationalisation

Learning outcomes

The course aims at delivering an intuitive understanding of the fundamentals and thus the power and limitations of various methods like Artificial Neural Network. SOM, genetic and evolutionary algorithms, simulated annealing.


Common algorithmic and AI methods used in data analysis in many fields of research, including but not restricted to bio and medical informatics. Different data analysis methods and applications are included.

Teaching methods

Teaching method Contact Online
Independent work

Independent work, exercises, oral exam.

Teaching language


Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Participation in course work 
In English
In English


Numeric 1-5.

Study materials

Course material on the Internet.

Further information

In the academic year 2014-2015 this course will be substituted by the course BIO2450 Advanced bioinformatics tools 4 ECTS.
In the academic year 2013-2014 the course can be replaced by SGN-13006 Introduction to Pattern Recognition and Machine Learning 5 ECTS at the Tampere University of Technology.

Belongs to following study modules

Archived Teaching Schedule. Please refer to current Teaching Shedule.